Ai services
Applied AI services for pricing, inventory and fulfilment
This is not consulting in the traditional sense. No decks that sit on shelves. No roadmaps that gather dust. No transformation programmes that never quite transform anything.
This is practical work: figuring out where AI actually helps your business, building focused tools for specific decisions, and making sure they work inside real operations. The result is people making better decisions, not PowerPoint slides about better decisions.
Each engagement starts with a specific problem and ends with something you can point to and use.
Engagements target measurable outcomes: fewer stockouts, faster pricing decisions and stronger margin without adding headcount.
AI Readiness Assessment
Working with leadership and operational teams to identify where AI genuinely improves decisions versus where it's automation theatre. Includes current-state mapping, decision ownership clarification, use case identification, and ROI modelling.
Clear list of high-impact decisions where AI can help, with named owners and success metrics. Not a deck - a working document.
- Timeline:
- 2-4 weeks
- Deliverable:
- Decision map with prioritised opportunities, named owners, and ROI estimates
Decision Mapping & Architecture
Identifying the decisions that matter most in your organisation, who owns them, what information they need, and where the gaps are. This is detective work, interviews, observation, data analysis.
Visual map of decision flows, dependencies, and breakpoints. Forms the foundation for everything else.
- Timeline:
- 3-6 weeks
- Deliverable:
- Visual map of decision flows, dependencies, and breakpoints with recommendations
Data Quality & Migration
Getting data into usable shape, audits for completeness and accuracy, deduplicates records, normalises formats, migrates from legacy systems. Prerequisite work before AI or integration projects can succeed.
Clean, normalised data ready for decision support tools. Derisks subsequent projects and eliminates manual cleanup cycles.
- Timeline:
- 4-8 weeks
- Deliverable:
- Cleaned data, quality reports, validation documentation, schema definitions, and governance recommendations
AI Governance & Policy Development
Practical guardrails for AI use, use case evaluation criteria, approval workflows, data access controls, incident response procedures. Operational policy that helps teams move forward safely.
Operational AI governance framework with clear policies and approval workflows. Accelerates deployment by giving teams clear boundaries.
- Timeline:
- 3-6 weeks
- Deliverable:
- AI governance policy documentation, use case evaluation framework, approval workflows, data access controls, incident response procedures
How this actually works
Most engagements start with assessment - 2-4 weeks understanding your decisions and where AI helps. Build work runs 2-4 months, in cycles: build small, test with real users, refine.
Expect honest timelines, realistic expectations, and work that actually gets finished.
Not sure where to start?
"The phased approach worked. We validated value in the first 4 weeks before committing to full build. That de-risked the investment significantly."
Finance Director, Manufacturing (UK)
Common questions about working together
Common questions about working together
What does a WithPraxis engagement look like?
An engagement starts with one operational decision that already affects margin or service for your business, such as a pricing rule, stock allocation policy or fulfilment routing choice. We structure that decision, make it measurable, and then improve how it is made over time.
How long does a first engagement take?
First value typically lands in weeks, not months, because the work targets a single pricing, inventory or fulfilment decision rather than a full transformation programme. Further decisions are then improved iteratively.
What does WithPraxis deliver?
We deliver a working structure around a specific operational decision: defined inputs, clear ownership, measurable outcomes, and where needed the models, data alignment and decision workflows that support it. The output is a decision that runs better, not a deck.
Do we need clean or complete data to start?
No. We start with the data already used to support the pricing, inventory or fulfilment decision in question. The focus is structuring and aligning that existing data, not rebuilding everything upfront.
Talk to us about your approach.
Let's discuss how we can help with your AI services needs.
Get in touchAbout WithPraxis
WithPraxis is employee-owned and experience-led. We work on decisions that already exist in your organisation, not transformation theatre. Independent and platform-agnostic - we recommend what works, not what we sell.